{"id":"W1512669332","doi":"10.1007/11587514_15","title":"Induction Variable Analysis with Delayed Abstractions","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Compiler; Scalar (mathematics); Representation (politics); Abstraction; Variable (mathematics); Benchmark (surveying); Algorithm; Theoretical computer science; Programming language; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001688491,0.001066869,0.001015207,0.00130061,0.0009580494,0.001785225,0.002946399,0.0006831666,0.01002645],"category_scores_gemma":[0.003367462,0.0008377056,0.001687575,0.001745902,0.002027553,0.004652742,0.003290154,0.004707077,0.003054388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536261,"about_ca_system_score_gemma":0.001134669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007716377,"about_ca_topic_score_gemma":0.0009547567,"domain_scores_codex":[0.9986874,0.0002764876,0.00006011306,0.0002691433,0.0004991803,0.0002076073],"domain_scores_gemma":[0.9985229,0.0007214254,0.0000669452,0.0004446269,0.0001906642,0.00005340947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001324595,0.00003650841,0.0003108185,0.0001296912,0.00003599183,0.00007502306,0.0001378746,0.01040339,0.003920356,0.8922603,0.006045556,0.08651213],"study_design_scores_gemma":[0.00002035498,0.00002239304,0.0001570891,0.00003240063,0.00004399197,0.00005937604,0.0000235754,0.0419648,0.007854317,0.9310828,0.01872035,0.00001855519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004630622,0.0003616049,0.9822559,0.0002112051,0.0001535332,0.0000353309,0.0001237966,0.001074336,0.0111536],"genre_scores_gemma":[0.3021397,0.001319982,0.6341618,0.0004509134,0.0004568337,0.0002817947,0.0009520847,0.001775514,0.05846146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01002645,"threshold_uncertainty_score":0.03354186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356062707629597,"score_gpt":0.2462067321659896,"score_spread":0.2326461050896937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}